Mining Process , Techniques and Tools : an Overview

Text Mining has become an important research area, which refers to the application of machine learning (or data mining) techniques in the study of Information Retrieval and Natural Language Processing. In sense, it is defined as the way of discovering knowledge from ubiquitous text data which are easily accessible over the Internet or the Intranet. The survey of Text Mining techniques, Text Mining Applications, literature survey of various applications and tools has been presented. Text Mining techniques like Document clustering and Document Classification have been presented. Text mining based framework for applications like Summarization, Topic Discovery, Information Extraction, Information Retrieval terms and techniques in each method has been discussed. Various text mining and data visualization tools for application to patent information like their working mode, capabilities, data sources and result output have been presented. In depth analysis of algorithm related to classification techniques its advantages and disadvantages and the working mode has been presented.